William Bishop <[email protected]>
It's not at all clear what you are trying to accomplish with that
code. Do you mean to run T-2 regressions for each value of id and
save the predictions like so?
webuse grunfeld, clear
su time, meanonly
loc Max=r(max)
levelsof com, local(is)
g p1=.
foreach i of local is {
forval t = 3/`Max' {
qui reg mval kst if com==`i'&time<`t'
predict temp, xb
qui replace p1=temp if time==`t'
drop temp
}
}
li time p1 mval, sepby(com) noo
Note the many nonsensical results in that output.
On Feb 4, 2008 3:49 PM, William Bishop <[email protected]> wrote:
> Any ideas on how to approach this?
>
>
> On Feb 2, 2008 11:47 AM, William Bishop <[email protected]> wrote:
> > I'm trying to do a rolling regression by id that regresses on previous
> > dates and then gets the prediction for the current observation.
> >
> > The code below does the regressions but the predictions are not made
> > after each regression but only after the final regression. So what
> > winds up happening is that all the predictions are based off the final
> > regression.
> >
> > forval i = 3/`Max' {
> > bys id (date) : regress varlist if _n < `i'
> >
> > predict temp, xb
> > bys id (date) : replace p1 = temp if _n == `i'
> > drop temp
> > }
> >
> > I'm looking to have the predictions made after each regression. Can
> > this be done using bys?
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